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Senior AI/ML Engineer

Senior AI/ML Engineer

Avira Digital
5-7 Years
Not Disclosed
Early Applicant
  • Posted 19 hours ago
  • Be among the first 10 applicants

Job Description

About Avira Digital

Avira Digital is a next-generation technology and consulting company focused on Life Sciences and Digital Transformation. We design and deliver AI-powered, data-driven, and cloud-native solutions across two key verticals — Life Sciences (Medical 360, Evidence 360) and Digital Platforms (Athena/IBex, Nexus, and Control Centers). At Avira, we combine domain depth, digital excellence, and innovation to help clients transform faster, operate smarter, and scale securely. Our teams work across Java, ReactJS, .NET, AI/ML, PowerBI, Tableau, Salesforce, and Cloud technologies — building solutions that truly make a difference.

To learn more, visit our website at Avira Digital or Avira Life Sciences.

Job Title: Senior AI/ML Engineer

Location: Hyderabad

Experience: 5+ Years

About the Role

We are looking for a Senior AI/ML Engineer with strong and proven hands-on expertise of AI and Large Language Models (LLMs). The ideal candidate should understand how AI systems work at a conceptual level and be able to build, integrate and deploy AI-powered applications using modern Python frameworks.

Key Responsibilities

  • Develop AI-driven applications using Python
  • Work on LLM integrations (OpenAI, open-source models, etc.)
  • Build APIs and backend services for AI-based solutions
  • Design prompt strategies and optimize LLM outputs
  • Implement RAG (Retrieval-Augmented Generation) systems
  • Integrate vector databases for semantic search
  • Collaborate with AI/ML engineers and frontend teams
  • Optimize performance and scalability of AI solutions
  • Stay updated with latest AI trends and frameworks

Required Technical Skills

AI / LLM Conceptual Knowledge

  • Understanding of:
  • Artificial Intelligence basics
  • Machine Learning concepts
  • Deep Learning fundamentals
  • Large Language Models (LLMs)
  • Transformers architecture (conceptual level)
  • Tokenization, embeddings, fine-tuning (basic understanding)
  • Prompt Engineering knowledge
  • RAG architecture understanding
  • Experience with:
  • LangChain / LlamaIndex
  • Vector databases (Pinecone, FAISS, Chroma, etc.)
  • OpenAI / Azure OpenAI APIs

Preferred Skills

  • Knowledge of cloud platforms (AWS / Azure / GCP)
  • Docker & deployment experience
  • CI/CD understanding
  • Exposure to NLP libraries (HuggingFace, SpaCy, etc.)
  • Experience in building AI chatbots
  • Experience in building AI agents
  • Knowledge of fine-tuning open-source LLMs
  • Exposure to enterprise AI applications

Key Competencies

  • Strong analytical thinking
  • Problem-solving mindset
  • Ability to explain AI concepts clearly
  • Quick learner and tech enthusiast

Educational Qualification

  • B.Tech / M.Tech / MCA / Equivalent
  • Certifications in AI/ML (optional but preferred)

More Info

Key Skills

LangChain

Azure OpenAI APIs

Chroma

Vector databases

FAISS

OpenAI

Pinecone

LlamaIndex

About Company

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